460 skills found · Page 1 of 16
abdulfatir / Twitter Sentiment AnalysisSentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
curiousily / Get Things Done With Prompt Engineering And LangChainLangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.
kaushikjadhav01 / Stock Market Prediction Web App Using Machine Learning And Sentiment AnalysisStock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
matthiasn / BirdWatchTweet stream analysis and visualization with real-time updates.
cardiffnlp / TweetnlpTweetNLP for all the NLP enthusiasts working on Twitter! The Python library tweetnlp provides a collection of useful tools to analyze/understand tweets such as sentiment analysis, emoji prediction, and named entity recognition, powered by state-of-the-art language models specialised on Twitter.
sharmaroshan / Twitter Sentiment AnalysisIt is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization
helmisatria / Tweet HarvestScrape tweets from Twitter search results based on keywords and date range using Playwright. Save scraped tweets in a CSV file for easy analysis
Twitter-Sentiment-Analysis / RSentiment analysis and visualization of real-time tweets using R
datawrangling / SpatialanalyticsWhere 2.0 Workshop Code: Spatial Analysis of Tweets using Hadoop, Pig, Python & Mechanical Turk. Slides here: http://www.slideshare.net/kevinweil/spatial-analytics-where-20-2010
akoksal / BERT Sentiment Analysis TurkishSentiment Analysis with BERT in Turkish Tweets
harishpuvvada / BitCoin Value Predictor[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin
Medha11 / Twitter TrendsTwitter Trends is a web-based application that automatically detects and analyzes emerging topics in real time through hashtags and user mentions in tweets. Twitter being the major microblogging service is a reliable source for trends detection. The project involved extracting live streaming tweets, processing them to find top hashtags and user mentions and displaying details for each trending topic using trends graph, live tweets and summary of related articles. It also included Topic Modelling and Entity Categorization to classify the tweets and extract valuable information about its contents and find similar tweets and related articles and URLs. A trending topic is represented as a word cloud created from set of keywords (hashtags or user mentions) that belong to that topic. Thus this application provides the required information to get an overhaul of the topics which are trending at that particular time. This data can be used to support social analysis, finance, marketing or news tracking.
mit-ccc / TweebankNLP[LREC 2022] An off-the-shelf pre-trained Tweet NLP Toolkit (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Tweebank-NER dataset
vspiewak / Twitter Sentiment AnalysisStreaming tweets with spark, language detection & sentiment analysis, dashboard with Kibana
iamaziz / Ar EmbeddingsSentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec
prateekjoshi565 / Twitter Sentiment AnalysisA guide for binary class sentiment analysis of tweets.
anubhavanand12qw / STOCK PRICE PREDICTION USING TWITTER SENTIMENT ANALYSISThe coding has been done on Python 3.65 using Jupyter Notebook. This program fetches LIVE data from TWITTER using Tweepy. Then we clean our data or tweets ( like removing special characters ). After that we perform sentiment analysis on the twitter data and plot it for better visualization. The we fetch the STOCK PRICE from yahoo.finance and add it to the data-set to perform prediction. We apply many machine learning algorithms like (random forest, MLPClassifier, logistic regression) and train our data-set. Then we perform prediction on untrained data and plot it with the real data and see the accuracy.
motazsaad / Arabic Sentiment AnalysisSentiment Analysis in Arabic tweets
ruanchaves / HashformersAccurate word segmentation for hashtags and text, powered by Transformers and Beam Search. A scalable alternative to heuristic splitters and massive LLMs.
charlesmalafosse / Open Dataset For Sentiment Analysisopen datasets for sentiment analysis based on tweets in English/Spanish/French/German/Italian
